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市场调查报告书
商品编码
1713735
全球 DaaS(无人机即服务)市场:按应用、主要产业、地区和国家预测(2025-2030 年)Drones as a Service Market by Applications and Leading Industries with Global, Regional and Country Forecasts 2025 - 2030 |
云端运算的基本原理是运算资源的分散化。这个想法是,处理资料和运行应用程式所需的实体基础设施不再需要位于客户的场所。
此外,这些运算资源的地理位置对使用者来说并不重要。例如,想像一下运算能力就像 "在空中" 一样被提供,可以在需要的时间和地点像电力一样被使用。这些概念象征着云端的按需和位置无关的特性。
这种典范转移带来了巨大的好处。首先,电脑资源利用效率大幅提高。以前,每家公司都有自己未使用的伺服器和基础设施,但透过聚合多个客户的需求,云端供应商能够有效地利用这些伺服器和基础设施。
因此,投资硬体和软体的公司可以实现资本支出最佳化。另一方面,对于使用云端服务的公司来说,他们将能够将成本作为营运支出 (OPEX) 进行管理,只为所需的服务付费,从而显着提高灵活性和经济性。
云端的这种演进催生了 "即服务" 交付模式。在这种模式下,处理能力、储存和特定应用的软体都作为服务透过网路提供。该系统允许公司灵活、可扩展地部署和扩展运算资源,而无需初始投资或管理 IT 基础设施的负担。
"即服务" 这个革命性概念目前正在对机器人领域产生重大影响。人们不再需要购买和维护实体机器人,而是出现了一种新的自动化即服务形式,即以服务的形式提供必要的机器人功能,从而加速了机器人技术的普及。现在,即使是那些因为成本和技术问题而难以采用机器人的公司,也开始使用机器人了。
特别是机器人、远端控制和云端技术的整合正在大幅改变企业业务流程。这种整合正在使一种称为按需机器人的新商业模式成为现实。例如,现在可以透过基于云端的平台在製造现场使用机械手臂、在物流仓库使用自主移动机器人、在需要时使用检查机器人进行远端监控,并且只按使用量付费。
这种创新模式并不局限于任何特定行业,而是正在迅速渗透到各个领域,几乎涵盖每一个用例、应用程式和解决方案。无人机领域也不例外。 MindCommerce 认为 "无人机即服务" (DaaS)作为一种外包解决方案获得了广泛支持,可以提高许多行业的营运效率。特别是包裹递送已成为近期世界事件的一大亮点,预计将成为无人机服务的重要市场。
这种模式并不局限于任何特定行业,而是正在迅速扩展到所有应用和垂直领域。无人机领域也不例外。 Mind Commerce 认为无人机即服务 (DaaS) 作为外包选择正在迅速普及,可以提高各行各业的营运效率。鑑于最近全球情势的变化,快递服务业尤其受到关注,并被视为无人机有望应用的主要市场之一。
本报告调查了全球 DaaS(无人机即服务)市场,并提供了无人机技术、用例和应用、市场规模趋势和预测的摘要、各个细分市场和地区的详细分析、市场影响因素的分析以及主要公司的概况。
This report provides analysis for the drones-as-a-service market including applications and services targeted at different use cases. The report evaluates solutions for leading industry verticals such as agricultural technology.
Solution areas evaluated include surveillance and monitoring, surveying and mapping, maintenance and inspection, filming and photography, package delivery, and scientific research. The report includes forecasts by solution and industry verticals from 2025 through 2030.
The fundamental principle underpinning cloud computing is the decentralization of computational resources. It posits that the physical infrastructure required for processing data and running applications no longer necessitates a local presence within a customer's own facilities.
Furthermore, the precise geographical location of these computing resources becomes largely immaterial to the end-user. Imagine, if you will, computational power existing almost ubiquitously, like a utility that can be tapped into whenever and wherever the need arises. This abstract notion of computing residing "in the ether" highlights the on-demand and location-independent nature of the cloud.
This shift in paradigm has yielded significant advantages. Firstly, it has dramatically improved the utilization of computing assets. Instead of individual organizations maintaining underutilized servers and infrastructure, cloud providers can aggregate demand from numerous customers, leading to far greater efficiency.
Consequently, for those investing in the underlying hardware and software, this translates to a substantial optimization of capital expenditures. Simultaneously, for businesses consuming these computing services, the model shifts to scalable operational expenses, meaning they only pay for the resources they consume, offering unparalleled flexibility and cost-effectiveness.
The evolution of cloud computing has fostered the "as a service" delivery model. This framework provides computational capabilities - be it processing power, storage, or specialized software - as a service that can be accessed over a network, typically the internet. This "as a service" approach has proven to be an exceptionally adaptable and scalable method for organizations to introduce and expand their computational capabilities without the upfront investment and management overhead associated with traditional IT infrastructure.
This transformative "as a service" paradigm is now profoundly impacting the field of robotics. It is paving the way for "automation as a service", where robotic capabilities are offered as a readily available service rather than requiring the outright purchase and maintenance of physical robots. This shift unlocks new possibilities for businesses that may have previously found robotics cost-prohibitive or lacked the in-house expertise to deploy and manage them effectively.
In particular, the synergistic combination of robotics, teleoperation, and cloud technologies is revolutionizing enterprise operations. This convergence is making the concept of "robotics on demand" a viable and increasingly attractive business model. Imagine being able to access and control robotic arms for manufacturing tasks, mobile robots for warehouse logistics, or inspection robots for remote monitoring, all through a cloud-based platform and paying only for the time and resources utilized.
This innovative model is not confined to specific industries; it is rapidly permeating virtually every use case, application, and solution across a wide spectrum of sectors. The realm of drones is no exception. Mind Commerce sees "Drones-as-a-Service" (DaaS) gaining significant traction as an outsourced solution for enhancing operational efficiency in numerous industries. A prime example, particularly highlighted by recent global events, is package delivery, which is anticipated to be a key market for drone-based services.
This trend is not a fleeting phenomenon. Certain leading industries, such as AgriTech, are poised to become major investment areas for Unmanned Aerial Vehicles (UAVs), commonly known as drones. The integration of the Internet of Things (IoT) in agriculture will increasingly involve a sophisticated interplay of robots, drones, remote sensors, and computer imaging.
These technologies, coupled with continuously advancing machine learning and analytical tools, will enable comprehensive monitoring of crops, precise surveying and mapping of fields, and the provision of actionable insights to farmers. Drones equipped with specialized sensors and cameras are already being deployed for detailed imaging, accurate mapping, and thorough surveying of smart farms.
The practice of mapping farms using aerial drones and terrestrial robots is rapidly becoming a fundamental requirement - "table stakes" for connected agriculture. Agribusiness operations are also leveraging UAVs to acquire real-time data pertaining to a multitude of aspects within their farming operations.
This will involve a synthesis of perspectives and images captured from both aerial platforms (drones) and ground-based robots, utilizing multi-spectral cameras and various sensors installed on these agricultural robotic systems. This rich data will empower more informed decision-making and drive greater efficiency and sustainability in agricultural practices.